{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:PR5P2EUYTC4AU2N2ONCGKYNHFG","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"b88facb9d42e96b9a690ddf12137a11ab1d7b2b9e07eac028e005ffbfa231d66","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-10T15:15:50Z","title_canon_sha256":"9a294f2799d705b95b62d40770dee9cbc1d544b3d2264687819de75489601a71"},"schema_version":"1.0","source":{"id":"2502.06917","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.06917","created_at":"2026-07-05T10:12:30Z"},{"alias_kind":"arxiv_version","alias_value":"2502.06917v1","created_at":"2026-07-05T10:12:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.06917","created_at":"2026-07-05T10:12:30Z"},{"alias_kind":"pith_short_12","alias_value":"PR5P2EUYTC4A","created_at":"2026-07-05T10:12:30Z"},{"alias_kind":"pith_short_16","alias_value":"PR5P2EUYTC4AU2N2","created_at":"2026-07-05T10:12:30Z"},{"alias_kind":"pith_short_8","alias_value":"PR5P2EUY","created_at":"2026-07-05T10:12:30Z"}],"graph_snapshots":[{"event_id":"sha256:d47303f408a456d738dacd44a297d055c2758f9dba1ad909088c80299c42a988","target":"graph","created_at":"2026-07-05T10:12:30Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2502.06917/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated Learning presents a nascent approach to machine learning, enabling collaborative model training across decentralized devices while safeguarding data privacy. However, its distributed nature renders it susceptible to adversarial attacks. Integrating blockchain technology with Federated Learning offers a promising avenue to enhance security and integrity. In this paper, we tackle the potential of blockchain in defending Federated Learning against adversarial attacks. First, we test Proof of Federated Learning, a well known consensus mechanism designed ad-hoc to federated contexts, as a","authors_text":"Francisco Herrera, Mario Garc\\'ia-M\\'arquez, M.Victoria Luz\\'on, Nuria Rodr\\'iguez-Barroso","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-10T15:15:50Z","title":"Krum Federated Chain (KFC): Using blockchain to defend against adversarial attacks in Federated Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.06917","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:a8f8a3dd7877e7500a05a66259acf93eaba1feb51b3b642ba7fdc9b79f620f3a","target":"record","created_at":"2026-07-05T10:12:30Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"b88facb9d42e96b9a690ddf12137a11ab1d7b2b9e07eac028e005ffbfa231d66","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-10T15:15:50Z","title_canon_sha256":"9a294f2799d705b95b62d40770dee9cbc1d544b3d2264687819de75489601a71"},"schema_version":"1.0","source":{"id":"2502.06917","kind":"arxiv","version":1}},"canonical_sha256":"7c7afd129898b80a69ba73446561a729b60bebec9f958155a0f356e147cda69b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7c7afd129898b80a69ba73446561a729b60bebec9f958155a0f356e147cda69b","first_computed_at":"2026-07-05T10:12:30.256765Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:12:30.256765Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wmWHKJID2DU1a4+jQ7ID3QI0X1+cDDIXk4BMRPU8f3kqJ8IjInkgibb1LEkN2l7knBkScREBIUrmVF0UjE3ADA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:12:30.257460Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.06917","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a8f8a3dd7877e7500a05a66259acf93eaba1feb51b3b642ba7fdc9b79f620f3a","sha256:d47303f408a456d738dacd44a297d055c2758f9dba1ad909088c80299c42a988"],"state_sha256":"bff01e934a87be7dc805c6ed8106262231063e7ae4f109988f79466eeed24e1b"}